Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration

📰 ArXiv cs.AI

Learn to separate refusal from capability in code LLMs via ablation to improve vulnerability detection and code security

advanced Published 5 Jun 2026
Action Steps
  1. Build a dataset of labeled vulnerable code using existing methods
  2. Apply instruction-tuning to an LLM to inject specified vulnerabilities
  3. Configure ablation to separate refusal from capability in code LLMs
  4. Test the effectiveness of the LLM in detecting vulnerabilities
  5. Run experiments to evaluate the impact of ablation on vulnerability detection
Who Needs to Know This

Security engineers and researchers on a team benefit from understanding how to evaluate code LLMs' capabilities and limitations, and how to improve vulnerability detection

Key Insight

💡 Ablation can help distinguish between an LLM's refusal to perform a task and its inability to do so, improving vulnerability detection

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🚨 Improve code security by separating refusal from capability in LLMs via ablation 💻

Key Takeaways

Learn to separate refusal from capability in code LLMs via ablation to improve vulnerability detection and code security

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